Evidence map›Paper›PMID 29447149›Full record

ArticlePLoS computational biology2018

Optimizing homeostatic cell renewal in hierarchical tissues.

Cesar Alvarado, Nicole A Fider, Helen J Wearing, Natalia L Komarova

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. A compartment size-dependent selective threshold limits mutation accumulation in hierarchical tissues.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Cesar AlvaradoDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0001-8428-0799
Nicole A FiderDepartment of Mathematics, University of California Irvine, Irvine, California, United States of America.
Helen J WearingDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0002-9837-9797
Natalia L KomarovaDepartment of Mathematics, University of California Irvine, Irvine, California, United States of America.ORCID 0000-0003-4876-0343

Funding

Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
NCI NIH HHS U01 CA187956NIH HHS 1 U01 CA187956-01
6 · The paper itself

Abstract

In order to maintain homeostasis, mature cells removed from the top compartment of hierarchical tissues have to be replenished by means of differentiation and self-renewal events happening in the more primitive compartments. As each cell division is associated with a risk of mutation, cell division patterns have to be optimized, in order to minimize or delay the risk of malignancy generation. Here we study this optimization problem, focusing on the role of division tree length, that is, the number of layers of cells activated in response to the loss of terminally differentiated cells, which is related to the balance between differentiation and self-renewal events in the compartments. Using both analytical methods and stochastic simulations in a metapopulation-style model, we find that shorter division trees are advantageous if the objective is to minimize the total number of one-hit mutants in the cell population. Longer division trees on the other hand minimize the accumulation of two-hit mutants, which is a more likely evolutionary goal given the key role played by tumor suppressor genes in cancer initiation. While division tree length is the most important property determining mutant accumulation, we also find that increasing the size of primitive compartments helps to delay two-hit mutant generation.

Indexed as

Computer SimulationStochastic ProcessesAnimalsCell DifferentiationCell DivisionCell ProliferationComputational BiologyGenes, Tumor SuppressorHematopoiesisHomeostasisHumansModels, BiologicalMutationNeoplasmsProbabilityRisk

Identifiers

PMID29447149
PMCPMC5831642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.